Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference.
Aurelie C. LozanoVikas SindhwaniPublished in: NIPS (2010)
Keyphrases
- variable selection
- causal inference
- high dimensional
- multivariate regression
- model selection
- discrete data
- regression model
- cross validation
- additive noise
- linear regression
- causal models
- dimension reduction
- abductive reasoning
- nonmonotonic reasoning
- rare events
- low dimensional
- high dimensionality
- feature space
- similarity search
- high dimensional data
- data points
- logistic regression
- dimensionality reduction
- sample size
- nearest neighbor
- feature selection
- machine learning
- text categorization
- least squares
- data mining
- probabilistic model
- data analysis
- pattern recognition
- bayesian networks
- decision trees
- observational data